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<div class="header">
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<div class="title">Visitor.h</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2008 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_VISITOR_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_VISITOR_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived, <span class="keywordtype">int</span> UnrollCount, <span class="keywordtype">bool</span> Vectorize=((Derived::PacketAccess!=0) &amp;&amp; functor_traits&lt;Visitor&gt;::PacketAccess)&gt;</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">struct </span>visitor_impl;</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160; </div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived, <span class="keywordtype">int</span> UnrollCount&gt;</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keyword">struct </span>visitor_impl&lt;Visitor, Derived, UnrollCount, false&gt;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;{</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    col = Derived::IsRowMajor ? (UnrollCount-1) % Derived::ColsAtCompileTime</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                              : (UnrollCount-1) / Derived::RowsAtCompileTime,</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    row = Derived::IsRowMajor ? (UnrollCount-1) / Derived::ColsAtCompileTime</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;                              : (UnrollCount-1) % Derived::RowsAtCompileTime</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;  };</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Derived &amp;mat, Visitor&amp; visitor)</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  {</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    visitor_impl&lt;Visitor, Derived, UnrollCount-1&gt;::run(mat, visitor);</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    visitor(mat.coeff(row, col), row, col);</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  }</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;};</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">struct </span>visitor_impl&lt;Visitor, Derived, 1, false&gt;</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Derived &amp;mat, Visitor&amp; visitor)</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;  {</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keywordflow">return</span> visitor.init(mat.coeff(0, 0), 0, 0);</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  }</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;};</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160; </div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment">// This specialization enables visitors on empty matrices at compile-time</span></div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keyword">struct </span>visitor_impl&lt;Visitor, Derived, 0, false&gt; {</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Derived &amp;<span class="comment">/*mat*/</span>, Visitor&amp; <span class="comment">/*visitor*/</span>)</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  {}</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;};</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160; </div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">struct </span>visitor_impl&lt;Visitor, Derived, <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>, <span class="comment">/*Vectorize=*/</span>false&gt;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;{</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Derived&amp; mat, Visitor&amp; visitor)</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  {</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    visitor.init(mat.coeff(0,0), 0, 0);</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordflow">if</span> (Derived::IsRowMajor) {</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 1; i &lt; mat.cols(); ++i) {</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;          visitor(mat.coeff(0, i), 0, i);</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      }</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j = 1; j &lt; mat.rows(); ++j) {</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; mat.cols(); ++i) {</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;          visitor(mat.coeff(j, i), j, i);</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        }</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;      }</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 1; i &lt; mat.rows(); ++i) {</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;          visitor(mat.coeff(i, 0), i, 0);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;      }</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j = 1; j &lt; mat.cols(); ++j) {</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; mat.rows(); ++i) {</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;          visitor(mat.coeff(i, j), i, j);</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        }</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;      }</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    }</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  }</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;};</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160; </div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor, <span class="keyword">typename</span> Derived, <span class="keywordtype">int</span> UnrollSize&gt;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keyword">struct </span>visitor_impl&lt;Visitor, Derived, UnrollSize, <span class="comment">/*Vectorize=*/</span>true&gt;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;{</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Derived::Scalar Scalar;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type Packet;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run(<span class="keyword">const</span> Derived&amp; mat, Visitor&amp; visitor)</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> PacketSize = packet_traits&lt;Scalar&gt;::size;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    visitor.init(mat.coeff(0,0), 0, 0);</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordflow">if</span> (Derived::IsRowMajor) {</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 0; i &lt; mat.rows(); ++i) {</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j = i == 0 ? 1 : 0;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        <span class="keywordflow">for</span>(; j+PacketSize-1 &lt; mat.cols(); j += PacketSize) {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;          Packet p = mat.packet(i, j);</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;          visitor.packet(p, i, j);</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        }</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <span class="keywordflow">for</span>(; j &lt; mat.cols(); ++j)</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;          visitor(mat.coeff(i, j), i, j);</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;      }</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;      <span class="keywordflow">for</span>(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j = 0; j &lt; mat.cols(); ++j) {</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = j == 0 ? 1 : 0;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <span class="keywordflow">for</span>(; i+PacketSize-1 &lt; mat.rows(); i += PacketSize) {</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;          Packet p = mat.packet(i, j);</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;          visitor.packet(p, i, j);</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        }</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="keywordflow">for</span>(; i &lt; mat.rows(); ++i)</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;          visitor(mat.coeff(i, j), i, j);</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;      }</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    }</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  }</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;};</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="comment">// evaluator adaptor</span></div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> XprType&gt;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="keyword">class </span>visitor_evaluator</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;{</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  <span class="keyword">typedef</span> internal::evaluator&lt;XprType&gt; Evaluator;</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    PacketAccess = Evaluator::Flags &amp; <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>,</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    IsRowMajor = XprType::IsRowMajor,</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    RowsAtCompileTime = XprType::RowsAtCompileTime,</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    ColsAtCompileTime = XprType::ColsAtCompileTime,</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    CoeffReadCost = Evaluator::CoeffReadCost</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  };</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160; </div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <span class="keyword">explicit</span> visitor_evaluator(<span class="keyword">const</span> XprType &amp;xpr) : m_evaluator(xpr), m_xpr(xpr) { }</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="keyword">typedef</span> std::remove_const_t&lt;typename XprType::CoeffReturnType&gt; CoeffReturnType;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  <span class="keyword">typedef</span> std::remove_const_t&lt;typename XprType::PacketReturnType&gt; PacketReturnType;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160; </div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> rows() const EIGEN_NOEXCEPT { <span class="keywordflow">return</span> m_xpr.rows(); }</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> cols() const EIGEN_NOEXCEPT { <span class="keywordflow">return</span> m_xpr.cols(); }</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size() const EIGEN_NOEXCEPT { <span class="keywordflow">return</span> m_xpr.size(); }</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160; </div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;  EIGEN_DEVICE_FUNC CoeffReturnType coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;<span class="keyword">  </span>{ <span class="keywordflow">return</span> m_evaluator.coeff(row, col); }</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  EIGEN_DEVICE_FUNC PacketReturnType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;<span class="keyword">  </span>{ <span class="keywordflow">return</span> m_evaluator.template packet&lt;Unaligned,PacketReturnType&gt;(row, col); }</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160; </div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  Evaluator m_evaluator;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <span class="keyword">const</span> XprType &amp;m_xpr;</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;};</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160; </div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Visitor&gt;</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classEigen_1_1DenseBase.html#a4225b90fcc74f18dd479b401124b3841">  183</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classEigen_1_1DenseBase.html#a4225b90fcc74f18dd479b401124b3841">DenseBase&lt;Derived&gt;::visit</a>(Visitor&amp; visitor)<span class="keyword"> const</span></div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  <span class="keywordflow">if</span>(size()==0)</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160; </div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::visitor_evaluator&lt;Derived&gt; ThisEvaluator;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  ThisEvaluator thisEval(derived());</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; </div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    unroll =  SizeAtCompileTime != <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;           &amp;&amp; SizeAtCompileTime * int(ThisEvaluator::CoeffReadCost) + (SizeAtCompileTime-1) * <span class="keywordtype">int</span>(internal::functor_traits&lt;Visitor&gt;::Cost) &lt;= EIGEN_UNROLLING_LIMIT</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  };</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  <span class="keywordflow">return</span> internal::visitor_impl&lt;Visitor, ThisEvaluator, unroll ? int(SizeAtCompileTime) : <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a>&gt;::run(thisEval, visitor);</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;}</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160; </div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160; </div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="keyword">struct </span>coeff_visitor</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;{</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;  <span class="comment">// default initialization to avoid countless invalid maybe-uninitialized warnings by gcc</span></div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  coeff_visitor() : row(-1), col(-1), res(0) {}</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Derived::Scalar Scalar;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> row, col;</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  Scalar res;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;  <span class="keyword">inline</span> <span class="keywordtype">void</span> init(<span class="keyword">const</span> Scalar&amp; value, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  {</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    res = value;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    row = i;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    col = j;</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  }</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;};</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160; </div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160; </div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> NaNPropagation, <span class="keywordtype">bool</span> is_min=true&gt;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;<span class="keyword">struct </span>minmax_compare {</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type Packet;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC <span class="keyword">inline</span> <span class="keywordtype">bool</span> compare(Scalar a, Scalar b) { <span class="keywordflow">return</span> a &lt; b; }</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC <span class="keyword">inline</span> Scalar predux(<span class="keyword">const</span> Packet&amp; p) { <span class="keywordflow">return</span> predux_min&lt;NaNPropagation&gt;(p);}</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;};</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160; </div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar, <span class="keywordtype">int</span> NaNPropagation&gt;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="keyword">struct </span>minmax_compare&lt;Scalar, NaNPropagation, false&gt; {</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type Packet;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC <span class="keyword">inline</span> <span class="keywordtype">bool</span> compare(Scalar a, Scalar b) { <span class="keywordflow">return</span> a &gt; b; }</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  <span class="keyword">static</span> EIGEN_DEVICE_FUNC <span class="keyword">inline</span> Scalar predux(<span class="keyword">const</span> Packet&amp; p) { <span class="keywordflow">return</span> predux_max&lt;NaNPropagation&gt;(p);}</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;};</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160; </div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Derived, <span class="keywordtype">bool</span> is_min, <span class="keywordtype">int</span> NaNPropagation&gt;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;<span class="keyword">struct </span>minmax_coeff_visitor : coeff_visitor&lt;Derived&gt;</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;{</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  <span class="keyword">using</span> Scalar = <span class="keyword">typename</span> Derived::Scalar;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  <span class="keyword">using</span> Packet = <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;  <span class="keyword">using</span> Comparator = minmax_compare&lt;Scalar, NaNPropagation, is_min&gt;;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160; </div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  <span class="keywordtype">void</span> operator() (<span class="keyword">const</span> Scalar&amp; value, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;  {</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <span class="keywordflow">if</span>(Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;      this-&gt;row = i;</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;      this-&gt;col = j;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    }</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  }</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160; </div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  <span class="keywordtype">void</span> packet(<span class="keyword">const</span> Packet&amp; p, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j) {</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> PacketSize = packet_traits&lt;Scalar&gt;::size;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    Scalar value = Comparator::predux(p);</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    <span class="keywordflow">if</span> (Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;      <span class="keyword">const</span> Packet range = preverse(plset&lt;Packet&gt;(Scalar(1)));</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;      Packet mask = pcmp_eq(pset1&lt;Packet&gt;(value), p);</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> max_idx = PacketSize - <span class="keyword">static_cast&lt;</span><a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(predux_max(pand(range, mask)));</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;      this-&gt;row = Derived::IsRowMajor ? i : i + max_idx;;</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;      this-&gt;col = Derived::IsRowMajor ? j + max_idx : j;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    }</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  }</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;};</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160; </div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;<span class="comment">// Suppress NaN. The only case in which we return NaN is if the matrix is all NaN, in which case,</span></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;<span class="comment">// the row=0, col=0 is returned for the location.</span></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Derived, <span class="keywordtype">bool</span> is_min&gt;</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;<span class="keyword">struct </span>minmax_coeff_visitor&lt;Derived, is_min, <a class="code" href="group__enums.html#gga7f4e3f96895bdb325eab1a0b651e211fa5bfaff916ad4913fd04fe2e92c5c32ae">PropagateNumbers</a>&gt; : coeff_visitor&lt;Derived&gt;</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;{</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Derived::Scalar Scalar;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  <span class="keyword">using</span> Packet = <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type;</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;  <span class="keyword">using</span> Comparator = minmax_compare&lt;Scalar, PropagateNumbers, is_min&gt;;</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160; </div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="keywordtype">void</span> operator() (<span class="keyword">const</span> Scalar&amp; value, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  {</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    <span class="keywordflow">if</span> ((!(numext::isnan)(value) &amp;&amp; (numext::isnan)(this-&gt;res)) || Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;      this-&gt;row = i;</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;      this-&gt;col = j;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    }</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;  }</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160; </div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  <span class="keywordtype">void</span> packet(<span class="keyword">const</span> Packet&amp; p, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j) {</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> PacketSize = packet_traits&lt;Scalar&gt;::size;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    Scalar value = Comparator::predux(p);</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    <span class="keywordflow">if</span> ((!(numext::isnan)(value) &amp;&amp; (numext::isnan)(this-&gt;res)) || Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;      <span class="keyword">const</span> Packet range = preverse(plset&lt;Packet&gt;(Scalar(1)));</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;      <span class="comment">/* mask will be zero for NaNs, so they will be ignored. */</span></div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      Packet mask = pcmp_eq(pset1&lt;Packet&gt;(value), p);</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> max_idx = PacketSize - <span class="keyword">static_cast&lt;</span><a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(predux_max(pand(range, mask)));</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;      this-&gt;row = Derived::IsRowMajor ? i : i + max_idx;;</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;      this-&gt;col = Derived::IsRowMajor ? j + max_idx : j;</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    }</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;  }</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160; </div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;};</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160; </div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;<span class="comment">// Propagate NaN. If the matrix contains NaN, the location of the first NaN will be returned in</span></div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;<span class="comment">// row and col.</span></div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Derived, <span class="keywordtype">bool</span> is_min&gt;</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;<span class="keyword">struct </span>minmax_coeff_visitor&lt;Derived, is_min, <a class="code" href="group__enums.html#gga7f4e3f96895bdb325eab1a0b651e211fa1d414f9966ecba69cd840b8def472c4a">PropagateNaN</a>&gt; : coeff_visitor&lt;Derived&gt;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;{</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Derived::Scalar Scalar;</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;  <span class="keyword">using</span> Packet = <span class="keyword">typename</span> packet_traits&lt;Scalar&gt;::type;</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <span class="keyword">using</span> Comparator = minmax_compare&lt;Scalar, PropagateNaN, is_min&gt;;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160; </div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  <span class="keywordtype">void</span> operator() (<span class="keyword">const</span> Scalar&amp; value, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  {</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">bool</span> value_is_nan = (numext::isnan)(value);</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    <span class="keywordflow">if</span> ((value_is_nan &amp;&amp; !(numext::isnan)(this-&gt;res)) || Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;      this-&gt;row = i;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;      this-&gt;col = j;</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;    }</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;  }</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160; </div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">inline</span></div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;  <span class="keywordtype">void</span> packet(<span class="keyword">const</span> Packet&amp; p, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j) {</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> PacketSize = packet_traits&lt;Scalar&gt;::size;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    Scalar value = Comparator::predux(p);</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">bool</span> value_is_nan = (numext::isnan)(value);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    <span class="keywordflow">if</span> ((value_is_nan &amp;&amp; !(numext::isnan)(this-&gt;res)) || Comparator::compare(value, this-&gt;res)) {</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;      <span class="keyword">const</span> Packet range = preverse(plset&lt;Packet&gt;(Scalar(1)));</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;      <span class="comment">// If the value is NaN, pick the first position of a NaN, otherwise pick the first extremal value.</span></div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;      Packet mask = value_is_nan ? pnot(pcmp_eq(p, p)) : pcmp_eq(pset1&lt;Packet&gt;(value), p);</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;      <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> max_idx = PacketSize - <span class="keyword">static_cast&lt;</span><a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(predux_max(pand(range, mask)));</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;      this-&gt;res = value;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;      this-&gt;row = Derived::IsRowMajor ? i : i + max_idx;;</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;      this-&gt;col = Derived::IsRowMajor ? j + max_idx : j;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    }</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;  }</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;};</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160; </div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar, <span class="keywordtype">bool</span> is_min, <span class="keywordtype">int</span> NaNPropagation&gt;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;<span class="keyword">struct </span>functor_traits&lt;minmax_coeff_visitor&lt;Scalar, is_min, NaNPropagation&gt; &gt; {</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    Cost = NumTraits&lt;Scalar&gt;::AddCost,</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;    PacketAccess = <span class="keyword">true</span></div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;  };</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;};</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160; </div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160; </div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> NaNPropagation, <span class="keyword">typename</span> IndexType&gt;</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;<span class="keyword">typename</span> internal::traits&lt;Derived&gt;::Scalar</div>
<div class="line"><a name="l00366"></a><span class="lineno"><a class="line" href="classEigen_1_1DenseBase.html#aa28152ba4a42b2d112e5fec5469ec4c1">  366</a></span>&#160;<a class="code" href="classEigen_1_1DenseBase.html#a0739f9c868c331031c7810e21838dcb2">DenseBase&lt;Derived&gt;::minCoeff</a>(IndexType* rowId, IndexType* colId)<span class="keyword"> const</span></div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;  eigen_assert(this-&gt;rows()&gt;0 &amp;&amp; this-&gt;cols()&gt;0 &amp;&amp; <span class="stringliteral">&quot;you are using an empty matrix&quot;</span>);</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160; </div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  internal::minmax_coeff_visitor&lt;Derived, true, NaNPropagation&gt; minVisitor;</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  this-&gt;visit(minVisitor);</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;  *rowId = minVisitor.row;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  <span class="keywordflow">if</span> (colId) *colId = minVisitor.col;</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;  <span class="keywordflow">return</span> minVisitor.res;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;}</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160; </div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> NaNPropagation, <span class="keyword">typename</span> IndexType&gt;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;<span class="keyword">typename</span> internal::traits&lt;Derived&gt;::Scalar</div>
<div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classEigen_1_1DenseBase.html#ac9265f4f91430b9cc75d63fb6865bb29">  391</a></span>&#160;<a class="code" href="classEigen_1_1DenseBase.html#a0739f9c868c331031c7810e21838dcb2">DenseBase&lt;Derived&gt;::minCoeff</a>(IndexType* index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;  eigen_assert(this-&gt;rows()&gt;0 &amp;&amp; this-&gt;cols()&gt;0 &amp;&amp; <span class="stringliteral">&quot;you are using an empty matrix&quot;</span>);</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160; </div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;      internal::minmax_coeff_visitor&lt;Derived, true, NaNPropagation&gt; minVisitor;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;  this-&gt;visit(minVisitor);</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;  *index = IndexType((RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row);</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keywordflow">return</span> minVisitor.res;</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;}</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160; </div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> NaNPropagation, <span class="keyword">typename</span> IndexType&gt;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;<span class="keyword">typename</span> internal::traits&lt;Derived&gt;::Scalar</div>
<div class="line"><a name="l00417"></a><span class="lineno"><a class="line" href="classEigen_1_1DenseBase.html#a3780b7a9cd184d0b4f3ea797eba9e2b3">  417</a></span>&#160;<a class="code" href="classEigen_1_1DenseBase.html#a7e6987d106f1cca3ac6ab36d288cc8e1">DenseBase&lt;Derived&gt;::maxCoeff</a>(IndexType* rowPtr, IndexType* colPtr)<span class="keyword"> const</span></div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;  eigen_assert(this-&gt;rows()&gt;0 &amp;&amp; this-&gt;cols()&gt;0 &amp;&amp; <span class="stringliteral">&quot;you are using an empty matrix&quot;</span>);</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160; </div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;  internal::minmax_coeff_visitor&lt;Derived, false, NaNPropagation&gt; maxVisitor;</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;  this-&gt;visit(maxVisitor);</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;  *rowPtr = maxVisitor.row;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;  <span class="keywordflow">if</span> (colPtr) *colPtr = maxVisitor.col;</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;  <span class="keywordflow">return</span> maxVisitor.res;</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;}</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160; </div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Derived&gt;</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> NaNPropagation, <span class="keyword">typename</span> IndexType&gt;</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;<span class="keyword">typename</span> internal::traits&lt;Derived&gt;::Scalar</div>
<div class="line"><a name="l00442"></a><span class="lineno"><a class="line" href="classEigen_1_1DenseBase.html#aced8ffda52ff061b6586ace2657ebf30">  442</a></span>&#160;<a class="code" href="classEigen_1_1DenseBase.html#a7e6987d106f1cca3ac6ab36d288cc8e1">DenseBase&lt;Derived&gt;::maxCoeff</a>(IndexType* index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;  eigen_assert(this-&gt;rows()&gt;0 &amp;&amp; this-&gt;cols()&gt;0 &amp;&amp; <span class="stringliteral">&quot;you are using an empty matrix&quot;</span>);</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160; </div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;      internal::minmax_coeff_visitor&lt;Derived, false, NaNPropagation&gt; maxVisitor;</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;  this-&gt;visit(maxVisitor);</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;  *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row;</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;  <span class="keywordflow">return</span> maxVisitor.res;</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;}</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160; </div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160; </div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_VISITOR_H</span></div>
<div class="ttc" id="aclassEigen_1_1DenseBase_html_a0739f9c868c331031c7810e21838dcb2"><div class="ttname"><a href="classEigen_1_1DenseBase.html#a0739f9c868c331031c7810e21838dcb2">Eigen::DenseBase::minCoeff</a></div><div class="ttdeci">internal::traits&lt; Derived &gt;::Scalar minCoeff() const</div><div class="ttdef"><b>Definition:</b> Redux.h:433</div></div>
<div class="ttc" id="aclassEigen_1_1DenseBase_html_a4225b90fcc74f18dd479b401124b3841"><div class="ttname"><a href="classEigen_1_1DenseBase.html#a4225b90fcc74f18dd479b401124b3841">Eigen::DenseBase::visit</a></div><div class="ttdeci">void visit(Visitor &amp;func) const</div><div class="ttdef"><b>Definition:</b> Visitor.h:183</div></div>
<div class="ttc" id="aclassEigen_1_1DenseBase_html_a7e6987d106f1cca3ac6ab36d288cc8e1"><div class="ttname"><a href="classEigen_1_1DenseBase.html#a7e6987d106f1cca3ac6ab36d288cc8e1">Eigen::DenseBase::maxCoeff</a></div><div class="ttdeci">internal::traits&lt; Derived &gt;::Scalar maxCoeff() const</div><div class="ttdef"><b>Definition:</b> Redux.h:448</div></div>
<div class="ttc" id="agroup__enums_html_gga7f4e3f96895bdb325eab1a0b651e211fa1d414f9966ecba69cd840b8def472c4a"><div class="ttname"><a href="group__enums.html#gga7f4e3f96895bdb325eab1a0b651e211fa1d414f9966ecba69cd840b8def472c4a">Eigen::PropagateNaN</a></div><div class="ttdeci">@ PropagateNaN</div><div class="ttdef"><b>Definition:</b> Constants.h:345</div></div>
<div class="ttc" id="agroup__enums_html_gga7f4e3f96895bdb325eab1a0b651e211fa5bfaff916ad4913fd04fe2e92c5c32ae"><div class="ttname"><a href="group__enums.html#gga7f4e3f96895bdb325eab1a0b651e211fa5bfaff916ad4913fd04fe2e92c5c32ae">Eigen::PropagateNumbers</a></div><div class="ttdeci">@ PropagateNumbers</div><div class="ttdef"><b>Definition:</b> Constants.h:347</div></div>
<div class="ttc" id="agroup__flags_html_ga1a306a438e1ab074e8be59512e887b9f"><div class="ttname"><a href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">Eigen::PacketAccessBit</a></div><div class="ttdeci">const unsigned int PacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:96</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
<div class="ttc" id="anamespaceEigen_html_ad81fa7195215a0ce30017dfac309f0b2"><div class="ttname"><a href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition:</b> Constants.h:24</div></div>
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